# Evaluation and determination of seven and five parameters of a photovoltaic generator by an iterative method

**Authors:** Ahmed Yahfdhou, Abdel Kader Mahmoud, Issakha Youm  
**arXiv:** [1601.03257](https://arxiv.org/abs/1601.03257)  
**Date:** 2016-01-08  
**Summary page:** https://www.summarizepaper.com/en/paper/1601.03257v1/

## Key points

- The paper focuses on the parametric characterization of a mathematical model for solar cells, specifically photovoltaic modules.
- Accurately determining the parameters of the equivalent circuit representing the photovoltaic module has been a challenge for researchers.
- The authors propose an identification method using Newton Raphson's method to determine the parameters of a model with single and two diodes.
- The proposed method allows for predicting the behavior of the photovoltaic generator under real functioning conditions.
- The authors validate their method by comparing experimental and simulated characteristics, showing high agreement between the two sets of data.
- They expand on their findings by evaluating and determining seven and five parameters of a photovoltaic generator using an iterative method based on Newton Raphson Method (NRM).
- The proposed method is accurate in predicting power output from solar PV modules even under changing weather conditions.

## Summary

In this paper, the authors focus on the parametric characterization of a mathematical model for solar cells, specifically photovoltaic modules. These models are crucial for optimizing the efficiency and diagnosing issues in photovoltaic generators. The parameters of the equivalent circuit representing the photovoltaic module are typically determined experimentally using the characteristic current-tension (I-V) relationship. However, accurately determining these parameters has proven to be a challenge for researchers, leading to a wide range of models and digital methods dedicated to their characterization. The authors propose an identification method for determining the parameters of a model with both single and two diodes. This allows them to predict the behavior of the photovoltaic generator under real functioning conditions. They utilize Newton Raphson's method, implemented using Matlab/Simulink software, as a fast technique for parameter identification that can be used in real-time applications. To validate their proposed method, the authors compare the experimental and simulated characteristics of the photovoltaic generator. The results show a high agreement between these two sets of data, indicating that their identification method is effective in accurately determining the parameters of the model. Additionally, they expand on their findings by evaluating and determining seven and five parameters of a photovoltaic generator using an iterative method based on Newton Raphson Method (NRM). They demonstrate that their proposed method is very accurate in predicting power output from solar PV modules even under changing weather conditions. Overall, this paper presents a detailed analysis of parameter identification methods for mathematical models of solar cells. The authors' approach using Newton Raphson's method shows promising results in accurately predicting power output from photovoltaic generators.